{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-28T06:20:51.496Z","headline":"Nvidia 用 Physical AI 框架解决医疗机器人数据难题：Medical Physics Simulation 发布","description":"Nvidia 推出 Medical Physics Simulation 框架，将医疗机器人视为需要具身体验而非仅靠代码学习的 Physical AI 系统。该框架让机器人通过接触、力和后果来学习世界行为，而非依赖传统编程，旨在解决医疗机器人领域的数据获取难题。","url":"https://www.aioga.com/news/cmrxge5bz0138ro98wqreo63f/","mainEntityOfPage":"https://www.aioga.com/news/cmrxge5bz0138ro98wqreo63f/","datePublished":"2026-07-23T11:38:55.000Z","dateModified":"2026-07-23T11:38:55.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.artificialintelligence-news.com/news/nvidia-bets-physical-ai-solve-healthcare-robotics-data-problem","https://aihot.virxact.com/items/cmrxge5bz0138ro98wqreo63f"],"canonicalUrl":"https://www.aioga.com/news/cmrxge5bz0138ro98wqreo63f/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：Nvidia 推出 Medical Physics Simulation 框架，将医疗机器人视为需要具身体验而非仅靠代码学习的 Physical AI 系统。 Aioga 将其归入「产品更新」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmrxge5bz0138ro98wqreo63f/","dateCreated":"2026-07-23T11:38:55.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"artificialintelligence-news.com source article","url":"https://www.artificialintelligence-news.com/news/nvidia-bets-physical-ai-solve-healthcare-robotics-data-problem","datePublished":"2026-07-23T11:38:55.000Z","provider":{"@type":"Organization","name":"artificialintelligence-news.com","url":"https://www.artificialintelligence-news.com/news/nvidia-bets-physical-ai-solve-healthcare-robotics-data-problem"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrxge5bz0138ro98wqreo63f","datePublished":"2026-07-23T11:38:55.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrxge5bz0138ro98wqreo63f"}}],"aggregationSource":"Artificial Intelligence News（RSS）","originalPublisher":{"name":"artificialintelligence-news.com","url":"https://www.artificialintelligence-news.com/news/nvidia-bets-physical-ai-solve-healthcare-robotics-data-problem"},"article":{"id":"cmrxge5bz0138ro98wqreo63f","slug":"cmrxge5bz0138ro98wqreo63f","url":"https://www.aioga.com/news/cmrxge5bz0138ro98wqreo63f/","title":"Nvidia 用 Physical AI 框架解决医疗机器人数据难题：Medical Physics Simulation 发布","title_en":"Nvidia bets physical AI can solve healthcare robotics' data problem","summary":"Nvidia 推出 Medical Physics Simulation 框架，将医疗机器人视为需要具身体验而非仅靠代码学习的 Physical AI 系统。该框架让机器人通过接触、力和后果来学习世界行为，而非依赖传统编程，旨在解决医疗机器人领域的数据获取难题。","source":"Artificial Intelligence News（RSS）","sourceUrl":"https://www.artificialintelligence-news.com/news/nvidia-bets-physical-ai-solve-healthcare-robotics-data-problem","aiHotUrl":"https://aihot.virxact.com/items/cmrxge5bz0138ro98wqreo63f","publishedAt":"2026-07-23T11:38:55.000Z","category":"产品更新","score":44,"selected":false,"articleBody":["Nvidia’s new Medical Physics Simulation framework treats healthcare robots as physical AI systems that need embodied experience to learn, not just code.","Physical AI is the term Nvidia：https://www.nvidia.com/en-gb/ and much of the robotics industry now use to describe machines that have to learn how the world behaves through contact, force, and consequence, rather than through text or images alone.","A language model learns from text. A physical AI system learns from what happens when a catheter meets a vessel wall, or when a robotic arm applies too much pressure to soft tissue. That kind of learning normally requires either a physical body operating in the physical world, or a simulation detailed enough to stand in for one.","For healthcare robotics, physical bodies operating in real procedures are scarce, tightly regulated, and slow to generate the range of scenarios a robot actually needs to see. Medical Physics Simulation is Nvidia’s attempt to manufacture that embodied experience computationally.","Announced as an open-source addition to the company’s Isaac for Healthcare platform, the framework generates the physical interactions a surgical or diagnostic robot would otherwise need years of clinical exposure to encounter: a guidewire catching on a calcified vessel wall, a kidney stone lodged at an unusual angle, or the soft-tissue response that only shows up in a small fraction of procedures.","None of these edge cases arrive on schedule in an operating theatre. Simulation lets developers generate them on demand.","The framework combines two ways of modelling how devices behave inside a body.","Classical physics simulation handles the mechanical rules that are already well understood, how a catheter bends, how much resistance a vessel wall applies, how contact forces shift as an instrument moves through tissue. Generative AI handles the part that’s harder to hand-code: visual scene dynamics learned from procedural data, delivered through a component Nvidia calls Cosmos-H Dreams.","That combination is the physical AI proposition in miniature. Classical simulation gives a robot policy the physics it needs to obey. Generative simulation gives it the range of visual and anatomical variation it needs to generalise. Put together, and run at scale on GPUs using Nvidia’s Warp and Newton libraries, the framework can execute large numbers of parallel training environments instead of one scene at a time.","Nvidia states that a benchmark running 8,192 parallel environments cut training time from over five hours to under two minutes. However, that demonstrates throughput – not clinical reliability – and it says nothing about how a policy trained this way performs against incomplete imaging, delayed sensor readings, and even anatomy that falls outside anything the simulation modelled.","A language model that underperforms on an edge case produces a bad answer, but a physical AI system that underperforms on an edge case is operating inside a patient. The parallel-simulation approach is a real advance in how fast developers can explore failure modes. Whether those simulated failure modes match what actually goes wrong in a surgical suite is a separate question.","The organisations Nvidia names as early adopters are applying the physical AI approach at different depths, and the list is worth reading with that in mind rather than treating it as a uniform roster of deployments.","CMR Surgical and Cambridge Consultants, the Capgemini-owned engineering firm, have gone furthest on the data side. CMR has contributed close to 500 hours of anonymised clinical data from its Versius Surgical Robotic System to the Open-H Embodiment dataset, spanning cholecystectomy, prostatectomy, hernia repair and hysterectomy procedures, and the pair are using Cosmos-H Dreams to model soft-tissue interaction physics and produce patient-specific simulations.","“Open-source models allow us to build on shared knowledge, accelerating responsible innovation and, ultimately, gives us the potential to deliver more consistent care and better outcomes for patients worldwide,” said Chris Fryer, CTO at CMR Surgical.","Johnson & Johnson MedTech is using the framework alongside a Cosmos-based foundation model to build a digital twin of its endoluminal MONARCH platform, focused on kidney-stone scenarios in urology.","XCath is applying it to endovascular autonomy policy training, teaching a system the physical behaviour of navigating blood vessels without a human hand on the controls. Inner Logic is generating synthetic data to validate device mechanics, and says it intends to produce in silico evidence to support regulatory submissions, though no submission built on that evidence has been confirmed publicly.","Medtronic Structural Heart sits earliest in the group, exploring simulated X-ray sensing for catheter navigation research.","Each of these is a training exercise or dataset contribution. None is a deployed system operating on a patient with policies learned this way, and Nvidia doesn’t claim otherwise.","Healthcare robotics carries a governance requirement most physical AI applications, including industrial and warehouse robots, don’t face to the same degree: regulators and clinical review boards need to see how a system arrived at its behaviour, not just confirm that the behaviour looked acceptable in testing.","An open-source framework lets developers inspect the physics assumptions inside the simulation, reproduce results across different anatomies, and build an evidence trail suited to a submission before the FDA or an equivalent body.","That’s a stronger argument for openness in physical AI than it is in most software categories, where a closed vendor pipeline hides the assumptions a team would otherwise need to defend to a regulator. It doesn’t settle the validation question on its own.","Open code lets outside reviewers check the model’s logic, but it doesn’t confirm the model’s physical behaviour matches what happens in a body, and that confirmation still has to come from testing that none of these companies has published yet.","Nvidia has built infrastructure that could shorten the pre-hardware phase of physical AI development for surgical and diagnostic robots, and running training at this scale in parallel is a departure from rebuilding a custom simulation scene for every workflow.","You can hear more about this topic at the Physical AI Expo ：https://physicalaiconference.com/ .","See also: Bristol Myers Squibb buys Nvidia AI system for drug discovery ：https://www.artificialintelligence-news.com/news/bristol-myers-squibb-nvidia-ai-system-drug-discovery/","Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo：https://www.ai-expo.net/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series and is co-located with other leading technology events including the Cyber Security & Cloud Expo：https://cybersecuritycloudexpo.com/?utm_source=CloudTech-News&utm_medium=Footer-banner&utm_campaign=world-series. Click here：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series for more information.","AI News is powered by TechForge Media：https://techforge.pub/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series. Explore other upcoming enterprise technology events and webinars here：https://techforge.pub/events/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series.","Ryan Daws：https://www.artificialintelligence-news.com/news/author/ryan/","Physical AI：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/","AI Business Strategy：https://www.artificialintelligence-news.com/categories/inside-ai/ai-business-strategy/, Artificial Intelligence：https://www.artificialintelligence-news.com/categories/artificial-intelligence/, Features：https://www.artificialintelligence-news.com/categories/features/, Finance AI：https://www.artificialintelligence-news.com/categories/ai-in-action/finance-ai/, World of Work：https://www.artificialintelligence-news.com/categories/ai-and-us/world-of-work/","Sponsored Content：https://www.artificialintelligence-news.com/categories/sponsored-content/","AI Hardware & Chips：https://www.artificialintelligence-news.com/categories/inside-ai/new_ai-hardware-chips/","AI in Action：https://www.artificialintelligence-news.com/categories/ai-in-action/","All our premium content and latest tech news delivered straight to your inbox","AI News is part of TechForge：https://techforge.pub/"],"articleImages":[{"sourceUrl":"https://secure.gravatar.com/avatar/d82963cecdd93f33733ed383f2d8005d91790f3740b49a926d4c180557eec721?s=96&d=mm&r=g","alt":"","afterParagraph":26,"url":"/media/articles/cmrxge5bz0138ro98wqreo63f/5ce3cf2821211c69.png"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2025/01/Airia-webinar-on-demand-300x250-1.png","alt":"","afterParagraph":30,"url":"/media/articles/cmrxge5bz0138ro98wqreo63f/54134ddad048ca5a.png"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2025/01/300x600-150x300.png","alt":"","afterParagraph":30,"url":"/media/articles/cmrxge5bz0138ro98wqreo63f/84efdfaa93523a46.png"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/07/nvidia-physical-ai-healthcare-robotics-medical-surgery-simulation-robot-open-source-isaac-2048x1536.jpg","alt":"Robot holding medicine as Nvidia's new Medical Physics Simulation framework treats healthcare robots as physical AI systems that need embodied experience to learn, not just code.","afterParagraph":30,"url":"/media/articles/cmrxge5bz0138ro98wqreo63f/ab90e018a0b60202.jpg"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/07/AMD-to-invest-up-to-5-billion-in-Anthropic-under-AI-infrastructure-deal-scaled-e1784783051102.jpg","alt":"AMD to invest up to $5 billion in Anthropic under AI infrastructure deal","afterParagraph":30,"url":"/media/articles/cmrxge5bz0138ro98wqreo63f/c16bba5e46604ebd.jpg"},{"sourceUrl":"https://www.artificialintelligence-news.com/wp-content/uploads/2026/07/sensetime-galaxy-project-ai-chip-infrastructure-china-artificial-intelligence-2048x1536.jpg","alt":"Person looking up at space as SenseTime has launched the Galaxy Project, teaming with nearly 20 partners to scale domestic AI chip infrastructure in China.","afterParagraph":31,"url":"/media/articles/cmrxge5bz0138ro98wqreo63f/4ddeafb3166dc361.jpg"}],"mediaStatus":"ok","articleBodyZh":["英伟达的新医疗物理仿真框架将医疗机器人视为需要具身经验来学习的物理人工智能系统，而不仅仅是代码。","物理人工智能是英伟达：https://www.nvidia.com/en-gb/ 以及许多机器人行业现在用来描述那些必须通过接触、力和后果来学习世界行为，而不仅仅通过文本或图像学习的机器的术语。","语言模型从文本中学习。物理人工智能系统则从导管接触血管壁或机器人手臂对软组织施加过大压力时发生的事情中学习。这种学习通常要求要么在物理世界中操作的实体身体，要么有足够详细以替代实体的仿真。","对于医疗机器人来说，在真实手术中操作的实体身体稀缺、严格监管，而且生成机器人实际需要看到的各种场景的速度很慢。医疗物理仿真是英伟达试图通过计算手段制造这种具身经验的尝试。","这一框架作为公司Isaac for Healthcare平台的开源补充发布，能够生成手术或诊断机器人原本需要多年临床经验才能遇到的物理交互：导丝卡在钙化血管壁上、肾结石以不寻常的角度嵌入，或者只在少数手术中出现的软组织反应。","这些极端情况在手术室中不会按时出现。仿真让开发者能够按需生成它们。","该框架结合了两种模拟设备在体内行为的方法。","经典物理仿真处理已经充分理解的机械规则：导管如何弯曲、血管壁施加多少阻力、器械穿过组织时接触力如何变化。生成式人工智能则处理更难手工编写的部分：通过程序数据学习的视觉场景动态，由英伟达称为Cosmos-H Dreams的组件提供。","这个组合是微型的物理AI命题。经典模拟为机器人策略提供了它需要遵守的物理规律。生成式模拟则为它提供了所需的视觉和解剖变异范围，以便进行泛化。两者结合，在使用Nvidia的Warp和Newton库的GPU上大规模运行时，该框架可以执行大量并行训练环境，而不是一次处理一个场景。","Nvidia表示，一个运行8192个并行环境的基准测试将训练时间从五个多小时缩短到不到两分钟。然而，这反映的是吞吐量——而非临床可靠性——也无法说明这样训练出的策略在面对不完整的影像数据、传感器延迟，甚至是超出模拟建模范围的解剖结构时表现如何。","在边缘情况下表现不佳的语言模型会产生错误答案，但在边缘情况下表现不佳的物理AI系统是在患者体内操作。并行模拟方法在开发人员探索失败模式的速度上确实是一大进步。至于这些模拟的失败模式是否与手术室中实际发生的问题相符，则是另一个问题。","Nvidia提到的早期采用者在不同层面应用了物理AI方法，这个名单值得在这种背景下阅读，而不是将其视为统一的部署列表。","CMR Surgical和剑桥顾问公司（Cambridge Consultants，卡普杰米尼旗下的工程公司）在数据方面走得最远。CMR已向Open-H Embodiment数据集贡献了其Versius手术机器人系统的近500小时匿名临床数据，涵盖胆囊切除术、前列腺切除术、疝气修补术和子宫切除术等手术，同时，两家公司正在使用Cosmos-H Dreams模拟软组织相互作用的物理过程并生成患者特定的模拟。","“开源模型让我们能够在共享知识的基础上构建，加速负责任的创新，并最终给予我们潜力，在全球范围内提供更一致的护理和更好的患者结果，”CMR Surgical首席技术官Chris Fryer表示。","强生医械正在将该框架与基于Cosmos的基础模型结合使用，以构建其内腔MONARCH平台的数字孪生体，专注于泌尿科的肾结石场景。","XCath正将其应用于血管内自主策略训练，教系统在无人操作的情况下导航血管的物理行为。Inner Logic正在生成合成数据以验证设备机制，并表示有意生成计算机模拟证据以支持监管提交，尽管尚未有基于这些证据的提交得到公开确认。","美敦力的结构性心脏部门在该组中起步最早，探索用于导管导航研究的模拟X光感测。","上述每一个都是训练练习或数据集贡献。没有任何一个是根据这种方式学习策略在患者身上运行的已部署系统，Nvidia也没有声称它是。","医疗机器人具有大多数物理AI应用，包括工业和仓储机器人所不具备的治理要求：监管机构和临床审查委员会需要了解系统是如何得出其行为的，而不仅仅是确认其行为在测试中看起来可接受。","开源框架让开发者检查模拟中的物理假设，在不同解剖结构间重现结果，并构建适合向FDA或等效机构提交的证据链。","对于物理AI来说，这比大多数软件类别更能论证开放性的必要性，因为封闭的供应商流程会隐藏团队本需要向监管者辩护的假设。它本身并不能解决验证问题。","开源代码让外部审查者可以检查模型逻辑，但它并不能确认模型的物理行为与人体内的实际情况一致，而这种确认仍需通过这些公司尚未公布的测试来完成。","Nvidia建立了基础设施，可以缩短外科及诊断机器人物理AI开发的硬件前阶段，并且在如此规模上并行进行训练，这与为每个工作流程重新构建定制模拟场景的过去做法有所不同。","您可以在 Physical AI 博览会上听到更多关于此主题的信息：https://physicalaiconference.com/。","另请参见：Bristol Myers Squibb 收购 Nvidia AI 系统用于药物研发：https://www.artificialintelligence-news.com/news/bristol-myers-squibb-nvidia-ai-system-drug-discovery/","想从行业领导者那里了解更多关于 AI 和大数据的信息吗？请查看 AI & Big Data Expo：https://www.ai-expo.net/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series，该活动将在阿姆斯特丹、加利福尼亚和伦敦举行。这个综合性活动是 TechEx 的一部分：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series，并且与其他领先的技术活动共同举办，包括 Cyber Security & Cloud Expo：https://cybersecuritycloudexpo.com/?utm_source=CloudTech-News&utm_medium=Footer-banner&utm_campaign=world-series。点击此处：https://techexevent.com/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series 获取更多信息。","AI News 由 TechForge Media 提供支持：https://techforge.pub/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series。这里可以探索其他即将举行的企业技术活动和网络研讨会：https://techforge.pub/events/?utm_source=AI-News&utm_medium=Footer-banner&utm_campaign=world-series。","Ryan Daws：https://www.artificialintelligence-news.com/news/author/ryan/","Physical AI：https://www.artificialintelligence-news.com/categories/ai-and-us/physical-ai/","AI 商业策略：https://www.artificialintelligence-news.com/categories/inside-ai/ai-business-strategy/、人工智能：https://www.artificialintelligence-news.com/categories/artificial-intelligence/、特写报道：https://www.artificialintelligence-news.com/categories/features/、金融 AI：https://www.artificialintelligence-news.com/categories/ai-in-action/finance-ai/、职场世界：https://www.artificialintelligence-news.com/categories/ai-and-us/world-of-work/","赞助内容：https://www.artificialintelligence-news.com/categories/sponsored-content/","AI 硬件与芯片：https://www.artificialintelligence-news.com/categories/inside-ai/new_ai-hardware-chips/","AI 实践：https://www.artificialintelligence-news.com/categories/ai-in-action/","我们所有的优质内容和最新科技新闻将直接送达您的收件箱","AI 新闻是 TechForge 的一部分：https://techforge.pub/"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：Nvidia 推出 Medical Physics Simulation 框架，将医疗机器人视为需要具身体验而非仅靠代码学习的 Physical AI 系统。 Aioga 将其归入「产品更新」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：产品与工具类动态的价值取决于它是否解决明确场景、能否进入工作流，以及交付、价格和数据安全是否可接受。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察产品是否开放使用、用户反馈、定价、集成能力和后续版本更新。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-07-28T06:29:10.597Z","sourceHash":"1ca98d344f19322f","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["产品更新","Artificial Intelligence News（RSS）"],"translations":{"zh-CN":{"title":"Nvidia 用 Physical AI 框架解决医疗机器人数据难题：Medical Physics Simulation 发布","summary":"Nvidia 推出 Medical Physics Simulation 框架，将医疗机器人视为需要具身体验而非仅靠代码学习的 Physical AI 系统。该框架让机器人通过接触、力和后果来学习世界行为，而非依赖传统编程，旨在解决医疗机器人领域的数据获取难题。","category":"产品更新","source":"artificialintelligence-news.com","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia 用 Physical AI 框架解决医疗机器人数据难题：Medical Physics Simulation 发布 - Aioga AI资讯","description":"Nvidia 推出 Medical Physics Simulation 框架，将医疗机器人视为需要具身体验而非仅靠代码学习的 Physical AI 系统。该框架让机器人通过接触、力和后果来学习世界行为，而非依赖传统编程，旨在解决医疗机器人领域的数据获取难题。","url":"https://www.aioga.com/news/cmrxge5bz0138ro98wqreo63f/"},"en":{"title":"Nvidia uses the Physical AI framework to solve medical robot data challenges: Medical Physics Simulation released","summary":"Nvidia has launched the Medical Physics Simulation framework, treating medical robots as Physical AI systems that require embodied experience rather than learning solely through code. This framework allows robots to learn world behaviors through touch, force, and consequences, rather than relying on traditional programming, aiming to address the data acquisition challenges in the field of medical robotics.","category":"Products","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia uses the Physical AI framework to solve medical robot data challenges: Medical Physics Simulation released - Aioga AI News","description":"Nvidia has launched the Medical Physics Simulation framework, treating medical robots as Physical AI systems that require embodied experience rather than learning solely through co...","url":"https://www.aioga.com/en/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:42:52.127Z"},"ja":{"title":"Nvidia、Physical AI フレームワークを用いて医療ロボットのデータ問題を解決：Medical Physics Simulation 発表","summary":"NvidiaはMedical Physics Simulationフレームワークを発表し、医療ロボットをコード学習だけでなく身体的経験を必要とするPhysical AIシステムとして位置付けました。このフレームワークは、ロボットが従来のプログラミングに依存するのではなく、接触、力、結果を通じて世界の振る舞いを学習できるようにし、医療ロボット分野におけるデータ取得の課題を解決することを目的としています。","category":"製品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia、Physical AI フレームワークを用いて医療ロボットのデータ問題を解決：Medical Physics Simulation 発表 - Aioga AIニュース","description":"NvidiaはMedical Physics Simulationフレームワークを発表し、医療ロボットをコード学習だけでなく身体的経験を必要とするPhysical AIシステムとして位置付けました。このフレームワークは、ロボットが従来のプログラミングに依存するのではなく、接触、力、結果を通じて世界の振る舞いを学習できるようにし、医療ロボット分野におけるデータ...","url":"https://www.aioga.com/ja/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:43:07.563Z"},"ko":{"title":"Nvidia가 Physical AI 프레임워크를 사용하여 의료 로봇 데이터 문제 해결: Medical Physics Simulation 출시","summary":"Nvidia는 의료 로봇을 단순히 코드 학습에 의존하는 것이 아니라 체험이 필요한 Physical AI 시스템으로 간주하는 Medical Physics Simulation 프레임워크를 출시했습니다. 이 프레임워크는 로봇이 전통적인 프로그래밍에 의존하지 않고 접촉, 힘, 결과를 통해 세계의 동작을 학습하도록 하며, 의료 로봇 분야의 데이터 획득 문제를 해결하는 것을 목표로 합니다.","category":"제품 업데이트","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia가 Physical AI 프레임워크를 사용하여 의료 로봇 데이터 문제 해결: Medical Physics Simulation 출시 - Aioga AI 뉴스","description":"Nvidia는 의료 로봇을 단순히 코드 학습에 의존하는 것이 아니라 체험이 필요한 Physical AI 시스템으로 간주하는 Medical Physics Simulation 프레임워크를 출시했습니다. 이 프레임워크는 로봇이 전통적인 프로그래밍에 의존하지 않고 접촉, 힘, 결과를 통해 세계의 동작을 학습하도록 하며, 의료 로...","url":"https://www.aioga.com/ko/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:43:58.244Z"},"es":{"title":"Nvidia utiliza el marco Physical AI para resolver los problemas de datos de los robots médicos: Medical Physics Simulation publicado","summary":"Nvidia lanzó el marco de Simulación de Física Médica, que considera a los robots médicos como sistemas de IA Física que requieren experiencia corporal en lugar de aprender únicamente a través del código. Este marco permite que los robots aprendan el comportamiento del mundo a través del contacto, la fuerza y las consecuencias, en lugar de depender de la programación tradicional, y tiene como objetivo resolver el problema de adquisición de datos en el ámbito de los robots médicos.","category":"Productos","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia utiliza el marco Physical AI para resolver los problemas de datos de los robots médicos: Medical Physics Simulation publicado - Aioga Noticias de IA","description":"Nvidia lanzó el marco de Simulación de Física Médica, que considera a los robots médicos como sistemas de IA Física que requieren experiencia corporal en lugar de aprender únicamen...","url":"https://www.aioga.com/es/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:44:02.646Z"},"fr":{"title":"Nvidia utilise le cadre Physical AI pour résoudre les problèmes de données des robots médicaux : Medical Physics Simulation publié","summary":"Nvidia a lancé le cadre de simulation Medical Physics, considérant les robots médicaux comme des systèmes d'IA physique nécessitant une expérience incarnée plutôt que d'apprendre uniquement par le code. Ce cadre permet aux robots d'apprendre le comportement du monde à travers le contact, la force et les conséquences, plutôt que de dépendre de la programmation traditionnelle, dans le but de résoudre les problèmes d'acquisition de données dans le domaine des robots médicaux.","category":"Produits","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia utilise le cadre Physical AI pour résoudre les problèmes de données des robots médicaux : Medical Physics Simulation publié - Aioga Actualités IA","description":"Nvidia a lancé le cadre de simulation Medical Physics, considérant les robots médicaux comme des systèmes d'IA physique nécessitant une expérience incarnée plutôt que d'apprendre u...","url":"https://www.aioga.com/fr/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:44:49.333Z"},"de":{"title":"Nvidia löst medizinische Roboterdatenprobleme mit dem Physical-AI-Rahmen: Veröffentlichung von Medical Physics Simulation","summary":"Nvidia hat den Medical-Physics-Simulationsrahmen eingeführt, der medizinische Roboter als Physical-AI-Systeme betrachtet, die eine verkörperte Erfahrung benötigen, anstatt nur durch Code zu lernen. Dieser Rahmen ermöglicht es Robotern, durch Kontakt, Kraft und Konsequenzen das Verhalten der Welt zu lernen, anstatt auf traditionelle Programmierung zu verlassen, und zielt darauf ab, das Problem der Datenerfassung im Bereich der medizinischen Robotik zu lösen.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia löst medizinische Roboterdatenprobleme mit dem Physical-AI-Rahmen: Veröffentlichung von Medical Physics Simulation - Aioga KI-News","description":"Nvidia hat den Medical-Physics-Simulationsrahmen eingeführt, der medizinische Roboter als Physical-AI-Systeme betrachtet, die eine verkörperte Erfahrung benötigen, anstatt nur durc...","url":"https://www.aioga.com/de/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:44:53.116Z"},"pt-BR":{"title":"Nvidia resolve o problema de dados de robôs médicos com o framework Physical AI: Medical Physics Simulation é lançado","summary":"A Nvidia lançou o framework Medical Physics Simulation, tratando robôs médicos como sistemas de IA física que necessitam de experiência corporal em vez de aprender apenas por código. Esse framework permite que os robôs aprendam o comportamento do mundo através do toque, da força e das consequências, em vez de depender da programação tradicional, visando resolver o problema de aquisição de dados na área de robótica médica.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia resolve o problema de dados de robôs médicos com o framework Physical AI: Medical Physics Simulation é lançado - Aioga Notícias de IA","description":"A Nvidia lançou o framework Medical Physics Simulation, tratando robôs médicos como sistemas de IA física que necessitam de experiência corporal em vez de aprender apenas por códig...","url":"https://www.aioga.com/pt-BR/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:45:41.950Z"},"ru":{"title":"Nvidia использует фреймворк Physical AI для решения проблем с данными медицинских роботов: выпущен Medical Physics Simulation","summary":"Nvidia представила рамочную структуру Medical Physics Simulation, рассматривающую медицинских роботов как системы Physical AI, которые требуют телесного опыта, а не обучения только с помощью кода. Эта рамочная структура позволяет роботам изучать поведение мира через контакт, силу и последствия, вместо того чтобы полагаться на традиционное программирование, и направлена на решение проблемы получения данных в области медицинской робототехники.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia использует фреймворк Physical AI для решения проблем с данными медицинских роботов: выпущен Medical Physics Simulation - Aioga Новости ИИ","description":"Nvidia представила рамочную структуру Medical Physics Simulation, рассматривающую медицинских роботов как системы Physical AI, которые требуют телесного опыта, а не обучения только...","url":"https://www.aioga.com/ru/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:45:38.329Z"},"ar":{"title":"إنفيديا تستخدم إطار العمل Physical AI لحل مشاكل بيانات الروبوتات الطبية: نشر Medical Physics Simulation","summary":"أطلقت Nvidia إطار محاكاة الفيزياء الطبية، الذي يعتبر الروبوتات الطبية كنظام ذكاء اصطناعي جسدي يحتاج إلى خبرة جسدية وليس مجرد تعلم من خلال الأكواد فقط. يسمح هذا الإطار للروبوتات بتعلم سلوك العالم من خلال اللمس والقوة والعواقب، بدلاً من الاعتماد على البرمجة التقليدية، ويهدف إلى حل مشكلة الحصول على البيانات في مجال الروبوتات الطبية.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"إنفيديا تستخدم إطار العمل Physical AI لحل مشاكل بيانات الروبوتات الطبية: نشر Medical Physics Simulation - Aioga أخبار الذكاء الاصطناعي","description":"أطلقت Nvidia إطار محاكاة الفيزياء الطبية، الذي يعتبر الروبوتات الطبية كنظام ذكاء اصطناعي جسدي يحتاج إلى خبرة جسدية وليس مجرد تعلم من خلال الأكواد فقط. يسمح هذا الإطار للروبوتات بتع...","url":"https://www.aioga.com/ar/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:46:28.604Z"},"hi":{"title":"Nvidia ने Physical AI फ्रेमवर्क का उपयोग करके मेडिकल रोबोट डेटा की समस्या को हल किया: Medical Physics Simulation जारी","summary":"Nvidia ने Medical Physics Simulation फ्रेमवर्क लॉन्च किया, जो चिकित्सा रोबोट को एक Physical AI सिस्टम के रूप में मानता है जिसे केवल कोड सीखने की बजाय साकार अनुभव की आवश्यकता होती है। यह फ्रेमवर्क रोबोट को दुनिया के व्यवहार को संपर्क, बल और परिणाम के माध्यम से सीखने देता है, न कि पारंपरिक प्रोग्रामिंग पर निर्भर रहने के लिए, इसका उद्देश्य चिकित्सा रोबोट के क्षेत्र में डेटा प्राप्त करने की समस्या को हल करना है।","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia ने Physical AI फ्रेमवर्क का उपयोग करके मेडिकल रोबोट डेटा की समस्या को हल किया: Medical Physics Simulation जारी - Aioga AI समाचार","description":"Nvidia ने Medical Physics Simulation फ्रेमवर्क लॉन्च किया, जो चिकित्सा रोबोट को एक Physical AI सिस्टम के रूप में मानता है जिसे केवल कोड सीखने की बजाय साकार अनुभव की आवश्यकता होती ह...","url":"https://www.aioga.com/hi/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:46:31.690Z"},"it":{"title":"Nvidia affronta il problema dei dati dei robot medicali con il framework Physical AI: Medical Physics Simulation pubblicato","summary":"Nvidia ha lanciato il framework Medical Physics Simulation, trattando i robot medici come sistemi di Physical AI che necessitano di esperienza corporea piuttosto che di apprendimento solo tramite codice. Questo framework permette ai robot di imparare il comportamento del mondo attraverso il contatto, la forza e le conseguenze, invece di affidarsi alla programmazione tradizionale, con l'obiettivo di risolvere il problema dell'acquisizione dei dati nel campo dei robot medici.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia affronta il problema dei dati dei robot medicali con il framework Physical AI: Medical Physics Simulation pubblicato - Aioga Notizie IA","description":"Nvidia ha lanciato il framework Medical Physics Simulation, trattando i robot medici come sistemi di Physical AI che necessitano di esperienza corporea piuttosto che di apprendimen...","url":"https://www.aioga.com/it/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:47:22.284Z"},"nl":{"title":"Nvidia gebruikt het Physical AI-framework om data-uitdagingen van medische robots op te lossen: Medical Physics Simulation uitgebracht","summary":"Nvidia heeft het Medical Physics Simulation-framework gelanceerd, dat medische robots ziet als een Physical AI-systeem dat een belichaamde ervaring nodig heeft in plaats van alleen leren via code. Dit framework stelt robots in staat om gedrag in de wereld te leren door aanraking, kracht en consequenties, in plaats van te vertrouwen op traditionele programmering, en is bedoeld om het probleem van het verkrijgen van gegevens in het domein van medische robots op te lossen.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia gebruikt het Physical AI-framework om data-uitdagingen van medische robots op te lossen: Medical Physics Simulation uitgebracht - Aioga AI-nieuws","description":"Nvidia heeft het Medical Physics Simulation-framework gelanceerd, dat medische robots ziet als een Physical AI-systeem dat een belichaamde ervaring nodig heeft in plaats van alleen...","url":"https://www.aioga.com/nl/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:47:18.888Z"},"tr":{"title":"Nvidia, Medical Physics Simulation yayınlayarak tıbbi robot verisi sorununu Physical AI çerçevesi ile çözüyor","summary":"Nvidia, tıbbi robotları sadece kod öğrenimiyle değil, bedensel deneyim gerektiren Fiziksel Yapay Zeka sistemi olarak gören Medical Physics Simulation çerçevesini tanıttı. Bu çerçeve, robotların geleneksel programlamaya bağımlı olmadan, dünyadaki davranışları temas, kuvvet ve sonuç aracılığıyla öğrenmesini sağlıyor ve tıbbi robotlar alanındaki veri toplama sorununu çözmeyi amaçlıyor.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia, Medical Physics Simulation yayınlayarak tıbbi robot verisi sorununu Physical AI çerçevesi ile çözüyor - Aioga AI Haberleri","description":"Nvidia, tıbbi robotları sadece kod öğrenimiyle değil, bedensel deneyim gerektiren Fiziksel Yapay Zeka sistemi olarak gören Medical Physics Simulation çerçevesini tanıttı. Bu çerçev...","url":"https://www.aioga.com/tr/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:48:08.529Z"},"vi":{"title":"Nvidia sử dụng khung Physical AI để giải quyết vấn đề dữ liệu của robot y tế: Medical Physics Simulation ra mắt","summary":"Nvidia ra mắt khung mô phỏng Vật lý Y học, coi robot y tế như một hệ thống AI Vật lý cần trải nghiệm thực tế thay vì chỉ học qua mã lệnh. Khung này cho phép robot học hành vi của thế giới thông qua tiếp xúc, lực và hậu quả, thay vì dựa vào lập trình truyền thống, nhằm giải quyết khó khăn trong thu thập dữ liệu cho lĩnh vực robot y tế.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia sử dụng khung Physical AI để giải quyết vấn đề dữ liệu của robot y tế: Medical Physics Simulation ra mắt - Tin tức AI Aioga","description":"Nvidia ra mắt khung mô phỏng Vật lý Y học, coi robot y tế như một hệ thống AI Vật lý cần trải nghiệm thực tế thay vì chỉ học qua mã lệnh. Khung này cho phép robot học hành vi của t...","url":"https://www.aioga.com/vi/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:48:08.557Z"},"id":{"title":"Nvidia menggunakan kerangka Physical AI untuk mengatasi masalah data robot medis: Medical Physics Simulation dirilis","summary":"Nvidia meluncurkan kerangka Simulasi Fisika Medis, menganggap robot medis sebagai sistem AI Fisik yang memerlukan pengalaman nyata, bukan hanya pembelajaran melalui kode. Kerangka ini memungkinkan robot belajar perilaku dunia melalui sentuhan, gaya, dan konsekuensi, bukan bergantung pada pemrograman tradisional, dengan tujuan untuk mengatasi kesulitan dalam memperoleh data di bidang robotika medis.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia menggunakan kerangka Physical AI untuk mengatasi masalah data robot medis: Medical Physics Simulation dirilis - Berita AI Aioga","description":"Nvidia meluncurkan kerangka Simulasi Fisika Medis, menganggap robot medis sebagai sistem AI Fisik yang memerlukan pengalaman nyata, bukan hanya pembelajaran melalui kode. Kerangka...","url":"https://www.aioga.com/id/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:48:55.213Z"},"th":{"title":"Nvidia ใช้กรอบงาน Physical AI แก้ปัญหาข้อมูลของหุ่นยนต์ทางการแพทย์: Medical Physics Simulation เปิดตัว","summary":"Nvidia เปิดตัวกรอบการจำลองฟิสิกส์ทางการแพทย์ ซึ่งมองหุ่นยนต์ทางการแพทย์ว่าเป็นระบบ AI ทางกายภาพที่ต้องมีประสบการณ์ทางร่างกายแทนที่จะเรียนรู้เพียงจากโค้ด กรอบนี้ช่วยให้หุ่นยนต์เรียนรู้พฤติกรรมของโลกผ่านการสัมผัส แรง และผลลัพธ์ แทนที่จะพึ่งพาการเขียนโปรแกรมแบบดั้งเดิม โดยมีเป้าหมายเพื่อแก้ไขปัญหาการเข้าถึงข้อมูลในสาขาหุ่นยนต์ทางการแพทย์","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia ใช้กรอบงาน Physical AI แก้ปัญหาข้อมูลของหุ่นยนต์ทางการแพทย์: Medical Physics Simulation เปิดตัว - ข่าว AI Aioga","description":"Nvidia เปิดตัวกรอบการจำลองฟิสิกส์ทางการแพทย์ ซึ่งมองหุ่นยนต์ทางการแพทย์ว่าเป็นระบบ AI ทางกายภาพที่ต้องมีประสบการณ์ทางร่างกายแทนที่จะเรียนรู้เพียงจากโค้ด กรอบนี้ช่วยให้หุ่นยนต์เรียน...","url":"https://www.aioga.com/th/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:48:57.754Z"},"pl":{"title":"Nvidia rozwiązuje problem danych w robotyce medycznej za pomocą ramienia Physical AI: wydano Medical Physics Simulation","summary":"Nvidia wprowadziła ramy symulacji fizyki medycznej, traktując roboty medyczne jako systemy AI fizycznej wymagające doświadczenia cielesnego, a nie uczenia się wyłącznie za pomocą kodu. Te ramy pozwalają robotom uczyć się zachowań świata poprzez kontakt, siłę i konsekwencje, zamiast polegać na tradycyjnym programowaniu, mając na celu rozwiązanie problemu pozyskiwania danych w dziedzinie robotów medycznych.","category":"产品更新","source":"Artificial Intelligence News（RSS）","aggregationSource":"Artificial Intelligence News（RSS）","pageTitle":"Nvidia rozwiązuje problem danych w robotyce medycznej za pomocą ramienia Physical AI: wydano Medical Physics Simulation - Aioga Wiadomości AI","description":"Nvidia wprowadziła ramy symulacji fizyki medycznej, traktując roboty medyczne jako systemy AI fizycznej wymagające doświadczenia cielesnego, a nie uczenia się wyłącznie za pomocą k...","url":"https://www.aioga.com/pl/news/cmrxge5bz0138ro98wqreo63f/","contentTranslated":true,"sourceHash":"9dcf2d7ad6392104","translatedAt":"2026-07-27T08:49:49.270Z"}}}}